Fri, 14 Oct 2022

New package SCpubr with initial version 1.0.0
Package: SCpubr
Title: Generate Publication Ready Visualizations of Single Cell Transcriptomics Data
Version: 1.0.0
Description: A system that provides a streamlined way of generating publication ready plots for known Single-Cell transcriptomics data in a “publication ready” format. This is, the aim is to automatically generate plots with the highest quality possible, that can be used right away or with minimal modifications for a research article.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.0.0)
URL: https://github.com/enblacar/SCpubr/, https://enblacar.github.io/SCpubr-book/
BugReports: https://github.com/enblacar/SCpubr/issues/
Suggests: rlang, Seurat, ggplot2, tidyr, dplyr, colorspace, viridis, pbapply, patchwork, Nebulosa, ggbeeswarm, scales, stringr, Matrix (>= 1.3.3), rmarkdown, knitr, purrr, testthat (>= 3.0.0), SeuratObject, qpdf, covr, circlize, ComplexHeatmap, ggrepel, forcats, svglite, ggrastr, ggtext, pheatmap, ggExtra, ggplotify, scattermore, ggdist, tibble, plyr, graphics, magrittr, ggridges, ggsignif, infercnv, rjags, rgdal, assertthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-10-14 10:32:51 UTC; e420a
Author: Enrique Blanco-Carmona [cre, aut]
Maintainer: Enrique Blanco-Carmona <scpubr@gmail.com>
Repository: CRAN
Date/Publication: 2022-10-14 13:25:21 UTC

More information about SCpubr at CRAN
Permanent link

Package rBDAT updated to version 0.10.0 with previous version 0.9.8 dated 2021-03-16

Title: Implementation of BDAT Tree Taper Fortran Functions
Description: Implementing the BDAT tree taper Fortran routines, which were developed for the German National Forest Inventory (NFI), to calculate diameters, volume, assortments, double bark thickness and biomass for different tree species based on tree characteristics and sorting information. See Kublin (2003) <doi:10.1046/j.1439-0337.2003.00183.x> for details.
Author: Christian Vonderach [aut, cre], Edgar Kublin [aut], Bernhard Boesch [aut], Gerald Kaendler [aut], Dominik Cullmann [ctb]
Maintainer: Christian Vonderach <christian.vonderach@forst.bwl.de>

Diff between rBDAT versions 0.9.8 dated 2021-03-16 and 0.10.0 dated 2022-10-14

 rBDAT-0.10.0/rBDAT/DESCRIPTION                    |    9 
 rBDAT-0.10.0/rBDAT/LICENSE                        |    4 
 rBDAT-0.10.0/rBDAT/MD5                            |   78 -
 rBDAT-0.10.0/rBDAT/NEWS.md                        |  332 ++--
 rBDAT-0.10.0/rBDAT/R/BDATBIOMASSE.R               |   94 -
 rBDAT-0.10.0/rBDAT/R/BDATDMRHX.R                  |   94 -
 rBDAT-0.10.0/rBDAT/R/BDATDORHX.R                  |   94 -
 rBDAT-0.10.0/rBDAT/R/BDATRINDE2HX.R               |   96 -
 rBDAT-0.10.0/rBDAT/R/BDATVOLABMR.R                |  108 -
 rBDAT-0.10.0/rBDAT/R/BDATVOLABOR.R                |  106 -
 rBDAT-0.10.0/rBDAT/R/BDATVOLDHMR.R                |  120 -
 rBDAT-0.10.0/rBDAT/R/BDATVOLDHOR.R                |  120 -
 rBDAT-0.10.0/rBDAT/R/buildTree.R                  | 1016 +++++++-------
 rBDAT-0.10.0/rBDAT/R/clearErrors.r                |only
 rBDAT-0.10.0/rBDAT/R/errormessage.r               |only
 rBDAT-0.10.0/rBDAT/R/getAssortment.R              |  429 +++---
 rBDAT-0.10.0/rBDAT/R/getBark.R                    |  184 +-
 rBDAT-0.10.0/rBDAT/R/getBiomass.R                 |  238 +--
 rBDAT-0.10.0/rBDAT/R/getDiameter.R                |  241 +--
 rBDAT-0.10.0/rBDAT/R/getForm.R                    |  192 +-
 rBDAT-0.10.0/rBDAT/R/getHeight.R                  |  231 +--
 rBDAT-0.10.0/rBDAT/R/getVolume.R                  |  563 ++++---
 rBDAT-0.10.0/rBDAT/R/throw.R                      |   42 
 rBDAT-0.10.0/rBDAT/R/updateBdatNamespace.R        |  162 +-
 rBDAT-0.10.0/rBDAT/build/vignette.rds             |binary
 rBDAT-0.10.0/rBDAT/inst/NEWS.rd                   |  480 +++---
 rBDAT-0.10.0/rBDAT/inst/doc/rbdat.R               |  242 +--
 rBDAT-0.10.0/rBDAT/inst/doc/rbdat.html            | 1568 +++++++++++++---------
 rBDAT-0.10.0/rBDAT/inst/doc/rbdat.rmd             |  768 +++++-----
 rBDAT-0.10.0/rBDAT/inst/runit_tests/runit-throw.R |    6 
 rBDAT-0.10.0/rBDAT/man/clearError.Rd              |only
 rBDAT-0.10.0/rBDAT/man/errormessage.Rd            |only
 rBDAT-0.10.0/rBDAT/man/getBiomass.Rd              |    5 
 rBDAT-0.10.0/rBDAT/man/getDiameter.Rd             |    3 
 rBDAT-0.10.0/rBDAT/man/getForm.Rd                 |    7 
 rBDAT-0.10.0/rBDAT/man/getHeight.Rd               |    3 
 rBDAT-0.10.0/rBDAT/man/getVolume.Rd               |    3 
 rBDAT-0.10.0/rBDAT/tests/runit.R                  |   84 -
 rBDAT-0.10.0/rBDAT/tests/testthat.R               |    8 
 rBDAT-0.10.0/rBDAT/tests/testthat/test-throw.R    |   18 
 rBDAT-0.10.0/rBDAT/vignettes/rbdat.md             |only
 rBDAT-0.10.0/rBDAT/vignettes/rbdat.rmd            |  768 +++++-----
 rBDAT-0.9.8/rBDAT/README.md                       |only
 43 files changed, 4519 insertions(+), 3997 deletions(-)

More information about rBDAT at CRAN
Permanent link

New package nda with initial version 0.1.6
Package: nda
Title: Network-Based Dimensionality Reduction and Analysis
Version: 0.1.6
Maintainer: Zsolt T. Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>
Description: Non-parametric dimensionality reduction function. Reduction with and without feature selection. Plot functions. Kosztyan et. al. (2022) <doi:10.1016/j.knosys.2022.109180>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: https://github.com/kzst/nda
Depends: R (>= 3.10)
Imports: leidenAlg, energy, psych, stats, igraph, Matrix, visNetwork
NeedsCompilation: no
Packaged: 2022-10-13 17:51:18 UTC; kzst
Author: Zsolt T. Kosztyan [aut, cre], Marcell T. Kurbucz [aut], Attila I. Katona [aut]
Repository: CRAN
Date/Publication: 2022-10-14 13:10:02 UTC

More information about nda at CRAN
Permanent link

New package mlpwr with initial version 1.0.0
Package: mlpwr
Title: A Power Analysis Toolbox to Find Cost-Efficient Study Designs
Version: 1.0.0
Description: We implement a surrogate modeling algorithm to guide simulation-based sample size planning. The method is described in detail in a recent preprint (Zimmer & Debelak (2022) <doi:10.31234/osf.io/tnhb2>). It supports multiple study design parameters and optimization with respect to a cost function. It can find optimal designs that correspond to a desired statistical power or that fulfill a cost constraint.
License: GPL (>= 3)
URL: https://github.com/flxzimmer/mlpwr
BugReports: https://github.com/flxzimmer/mlpwr/issues
Imports: utils, stats, DiceKriging, digest, ggplot2, randtoolbox, rlist, WeightSVM, rgenoud
Suggests: knitr, lme4, lmerTest, mirt, pwr, rmarkdown, simr, sn, tidyr
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-10-14 10:51:08 UTC; fzimmer
Author: Felix Zimmer [aut, cre] , Rudolf Debelak [aut]
Maintainer: Felix Zimmer <felix.zimmer@mail.de>
Repository: CRAN
Date/Publication: 2022-10-14 13:30:02 UTC

More information about mlpwr at CRAN
Permanent link

New package jagshelper with initial version 0.1.6
Package: jagshelper
Title: Extracting and Visualizing Output from 'jagsUI'
Version: 0.1.6
Date: 2022-10-14
Author: Matt Tyers [aut, cre]
Maintainer: Matt Tyers <matttyersstat@gmail.com>
Description: Tools are provided to streamline Bayesian analyses in 'JAGS' using the 'jagsUI' package. Included are functions for extracting output in simpler format, functions for streamlining assessment of convergence, and functions for producing summary plots of output. Also included is a function that provides a simple template for running 'JAGS' from 'R'. Referenced materials can be found at <DOI:10.1214/ss/1177011136>.
License: GPL-2
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Imports: jagsUI, MASS
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-10-14 10:29:32 UTC; mtyers
Repository: CRAN
Date/Publication: 2022-10-14 13:22:33 UTC

More information about jagshelper at CRAN
Permanent link

Package worldfootballR updated to version 0.6.1 with previous version 0.6.0 dated 2022-08-24

Title: Extract and Clean World Football (Soccer) Data
Description: Allow users to obtain clean and tidy football (soccer) game, team and player data. Data is collected from a number of popular sites, including 'FBref', transfer and valuations data from 'Transfermarkt'<https://www.transfermarkt.com/> and shooting location and other match stats data from 'Understat'<https://understat.com/> and 'fotmob'<https://www.fotmob.com/>. It gives users the ability to access data more efficiently, rather than having to export data tables to files before being able to complete their analysis.
Author: Jason Zivkovic [aut, cre, cph], Tony ElHabr [ctb], Tan Ho [ctb], Samuel H [ctb]
Maintainer: Jason Zivkovic <jaseziv83@gmail.com>

Diff between worldfootballR versions 0.6.0 dated 2022-08-24 and 0.6.1 dated 2022-10-14

 DESCRIPTION                   |   16 -
 MD5                           |   90 ++++-----
 NAMESPACE                     |    8 
 NEWS.md                       |  401 ++++++++----------------------------------
 R/fb_big5_advanced_season.R   |   40 ++--
 R/fb_player_goal_logs.R       |only
 R/fb_player_match_logs.R      |   18 -
 R/fb_player_scouting.R        |    6 
 R/fb_team_goal_logs.R         |only
 R/fb_team_match_log_stats.R   |   10 -
 R/fb_team_player_stats.R      |    2 
 R/fbref_wages.R               |   40 ++--
 R/fotmob_helpers.R            |    9 
 R/fotmob_leagues.R            |   30 +--
 R/fotmob_matches.R            |   31 +--
 R/fotmob_players.R            |   19 -
 R/fotmob_stats.R              |   36 +--
 R/get_advanced_match_stats.R  |   30 +--
 R/get_match_lineups.R         |   32 +--
 R/get_match_report.R          |   16 -
 R/get_match_results.R         |   66 +++---
 R/get_match_shooting.R        |   28 +-
 R/get_match_summary.R         |   90 ++++-----
 R/get_match_urls.R            |    8 
 R/get_season_player_stats.R   |    2 
 R/get_season_team_stats.R     |   52 ++---
 R/internals.R                 |   51 ++++-
 R/load_fb.R                   |   22 +-
 R/player_market_values.R      |   48 ++---
 R/team_match_results.R        |   16 -
 R/tm_expiring_contracts.R     |   26 +-
 R/tm_league_debutants.R       |   36 +--
 R/tm_league_injuries.R        |   26 +-
 R/tm_matchday_table.R         |   14 -
 R/tm_player_bio.R             |   24 +-
 R/tm_player_injury_history.R  |   32 +--
 R/tm_squad_stats.R            |    6 
 R/tm_staff_job_history.R      |    8 
 R/tm_team_staff_history.R     |   16 -
 R/tm_team_transfer_balances.R |   14 -
 R/tm_team_transfers.R         |   14 -
 R/understat_match_results.R   |    8 
 R/understat_shots.R           |    6 
 R/worldfootballr_helpers.R    |   16 -
 man/fb_player_goal_logs.Rd    |only
 man/fb_team_goal_logs.Rd      |only
 tests/testthat/test-fbref.R   |   22 +-
 tests/testthat/test-fotmob.R  |   11 -
 48 files changed, 661 insertions(+), 835 deletions(-)

More information about worldfootballR at CRAN
Permanent link

Package stopdetection updated to version 0.1.1 with previous version 0.1.0 dated 2022-10-12

Title: Stop Detection in Timestamped Trajectory Data using Spatiotemporal Clustering
Description: Trajectory data formed by human or animal movement is often marked by periods of movement interspersed with periods of standing still. It is often of interest to researchers to separate geolocation trajectories of latitude/longitude points by clustering consecutive locations to produce a model of this behavior. This package implements the Stay Point detection algorithm originally described in Ye (2009) <doi:10.1109/MDM.2009.11> that uses time and distance thresholds to characterize spatial regions as 'stops'. This package also implements the concept of merging described in Montoliu (2013) <doi:10.1007/s11042-011-0982-z> as stay point region estimation, which allows for clustering of temporally adjacent stops for which distance between the midpoints is less than the provided threshold. GPS-like data from various sources can be used, but the temporal thresholds must be considered with respect to the sampling interval, and the spatial thresholds must be considered with respect [...truncated...]
Author: McCool Danielle [aut, cre]
Maintainer: McCool Danielle <d.m.mccool@uu.nl>

Diff between stopdetection versions 0.1.0 dated 2022-10-12 and 0.1.1 dated 2022-10-14

 DESCRIPTION                             |    6 +++---
 MD5                                     |    5 +++--
 R/returnStateEvents.R                   |    3 +++
 tests/testthat/test-returnStateEvents.R |only
 4 files changed, 9 insertions(+), 5 deletions(-)

More information about stopdetection at CRAN
Permanent link

Package ravetools updated to version 0.0.8 with previous version 0.0.7 dated 2022-09-19

Title: Signal Processing Toolbox for Analyzing 'Electrophysiology' Data
Description: Implemented fast and memory-efficient 'Notch'-filter, 'Welch-periodogram', and discrete wavelet transform algorithm for hours of high-resolution signals; providing fundamental toolbox for 'iEEG' preprocess pipelines. Documentation and examples about 'RAVE' project are provided at <https://openwetware.org/wiki/RAVE>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.
Author: Zhengjia Wang [aut, cre, cph], Beauchamp lab [cph], Karim Rahim [cph] , Prerau Lab [cph] , RcppParallel Authors [cph] , Marcus Geelnard [cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between ravetools versions 0.0.7 dated 2022-09-19 and 0.0.8 dated 2022-10-14

 DESCRIPTION                          |    8 -
 MD5                                  |   40 +++++----
 NAMESPACE                            |    5 +
 NEWS.md                              |    9 ++
 R/RcppExports.R                      |   16 +++
 R/baseline.R                         |   16 +--
 R/fast_quantile.R                    |only
 R/fir1.R                             |   14 +--
 R/interpolate.R                      |only
 R/parse_svec.R                       |only
 R/plot-signals.R                     |    2 
 R/pwelch-diagnosis.R                 |   50 ++++++-----
 inst/include/ravetools_RcppExports.h |   84 +++++++++++++++++++
 inst/include/tthread/tinythread.h    |   25 ++++-
 man/baseline_array.Rd                |    3 
 man/fast_quantile.Rd                 |only
 man/interpolate_stimulation.Rd       |only
 src/RcppExports.cpp                  |  154 +++++++++++++++++++++++++++++++++++
 src/baseline.cpp                     |    9 ++
 src/columnQuantile.cpp               |only
 src/common.h                         |    1 
 src/fastQuantile.cpp                 |only
 src/fastQuantile.h                   |only
 src/shiftarray.cpp                   |    2 
 tests/testthat/test-filter.R         |    6 -
 25 files changed, 377 insertions(+), 67 deletions(-)

More information about ravetools at CRAN
Permanent link

Package excursions updated to version 2.5.4 with previous version 2.5.3 dated 2022-08-25

Title: Excursion Sets and Contour Credibility Regions for Random Fields
Description: Functions that compute probabilistic excursion sets, contour credibility regions, contour avoiding regions, and simultaneous confidence bands for latent Gaussian random processes and fields. The package also contains functions that calculate these quantities for models estimated with the INLA package. The main references for excursions are Bolin and Lindgren (2015) <doi:10.1111/rssb.12055>, Bolin and Lindgren (2017) <doi:10.1080/10618600.2016.1228537>, and Bolin and Lindgren (2018) <doi:10.18637/jss.v086.i05>. These can be generated by the citation function in R.
Author: David Bolin [cre, aut], Finn Lindgren [aut]
Maintainer: David Bolin <davidbolin@gmail.com>

Diff between excursions versions 2.5.3 dated 2022-08-25 and 2.5.4 dated 2022-10-14

 excursions-2.5.3/excursions/inst/copying/GSL.txt                          |only
 excursions-2.5.3/excursions/src/Makevars                                  |only
 excursions-2.5.3/excursions/src/gsl_fix.c                                 |only
 excursions-2.5.3/excursions/tests/testthat/_snaps/test.contourmap.inla.md |only
 excursions-2.5.3/excursions/tests/testthat/test.continuous.R              |only
 excursions-2.5.3/excursions/tests/testthat/test.contourmap.R              |only
 excursions-2.5.3/excursions/tests/testthat/test.contourmap.inla.R         |only
 excursions-2.5.3/excursions/tests/testthat/test.excursions.R              |only
 excursions-2.5.3/excursions/tests/testthat/test.excursions.inla.R         |only
 excursions-2.5.3/excursions/tests/testthat/test.integration.R             |only
 excursions-2.5.3/excursions/tests/testthat/test.simconf.R                 |only
 excursions-2.5.3/excursions/tests/testthat/test.variances.R               |only
 excursions-2.5.4/excursions/DESCRIPTION                                   |   15 
 excursions-2.5.4/excursions/MD5                                           |   38 +-
 excursions-2.5.4/excursions/NEWS.md                                       |    4 
 excursions-2.5.4/excursions/R/utils.R                                     |    4 
 excursions-2.5.4/excursions/cleanup                                       |only
 excursions-2.5.4/excursions/configure                                     |only
 excursions-2.5.4/excursions/configure.ac                                  |only
 excursions-2.5.4/excursions/inst/COPYRIGHTS                               |    9 
 excursions-2.5.4/excursions/src/Makevars.in                               |only
 excursions-2.5.4/excursions/src/Makevars.win                              |only
 excursions-2.5.4/excursions/src/gsl_fix.h                                 |  183 ----------
 excursions-2.5.4/excursions/tests/testthat/_snaps/contourmap_inla.md      |only
 excursions-2.5.4/excursions/tests/testthat/helper-data.R                  |   20 -
 excursions-2.5.4/excursions/tests/testthat/test-continuous.R              |only
 excursions-2.5.4/excursions/tests/testthat/test-contourmap.R              |only
 excursions-2.5.4/excursions/tests/testthat/test-contourmap_inla.R         |only
 excursions-2.5.4/excursions/tests/testthat/test-excursions.R              |only
 excursions-2.5.4/excursions/tests/testthat/test-excursions_inla.R         |only
 excursions-2.5.4/excursions/tests/testthat/test-integration.R             |only
 excursions-2.5.4/excursions/tests/testthat/test-simconf.R                 |only
 excursions-2.5.4/excursions/tests/testthat/test-variances.R               |only
 33 files changed, 60 insertions(+), 213 deletions(-)

More information about excursions at CRAN
Permanent link

Package commonmark updated to version 1.8.1 with previous version 1.8.0 dated 2022-03-09

Title: High Performance CommonMark and Github Markdown Rendering in R
Description: The CommonMark specification defines a rationalized version of markdown syntax. This package uses the 'cmark' reference implementation for converting markdown text into various formats including html, latex and groff man. In addition it exposes the markdown parse tree in xml format. Also includes opt-in support for GFM extensions including tables, autolinks, and strikethrough text.
Author: Jeroen Ooms [aut, cre] , John MacFarlane [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between commonmark versions 1.8.0 dated 2022-03-09 and 1.8.1 dated 2022-10-14

 DESCRIPTION                   |    6 
 MD5                           |   24 
 NEWS                          |    4 
 src/Makevars                  |    2 
 src/cmark/arena.c             |    2 
 src/cmark/cmark-gfm.h         |    4 
 src/cmark/cmark-gfm_version.h |    4 
 src/cmark/cmark.c             |    6 
 src/cmark/inlines.c           |   33 
 src/cmark/scanners.c          | 4994 ++++++++++++++++++++----------------------
 src/extensions.c              |    2 
 src/extensions/autolink.c     |   37 
 src/init.c                    |    2 
 13 files changed, 2584 insertions(+), 2536 deletions(-)

More information about commonmark at CRAN
Permanent link

Package admiral updated to version 0.8.4 with previous version 0.8.3 dated 2022-10-07

Title: ADaM in R Asset Library
Description: A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).
Author: Thomas Neitmann [aut, cre], Stefan Bundfuss [aut], Ben Straub [aut], Samia Kabi [aut], Gordon Miller [aut], Teckla Akinyi [aut], Andrew Smith [aut], Konstantina Koukourikou [aut], Ross Farrugia [aut], Eric Simms [aut], Annie Yang [aut], Robin Koeger [...truncated...]
Maintainer: Thomas Neitmann <thomas.neitmann@roche.com>

Diff between admiral versions 0.8.3 dated 2022-10-07 and 0.8.4 dated 2022-10-14

 DESCRIPTION                       |    6 -
 MD5                               |    8 +-
 NEWS.md                           |    4 +
 inst/doc/adsl.html                |    4 -
 tests/testthat/test-deprecation.R |  123 ++++++++++++++++++--------------------
 5 files changed, 72 insertions(+), 73 deletions(-)

More information about admiral at CRAN
Permanent link

Package BaM updated to version 1.0.3 with previous version 1.0.2 dated 2020-12-09

Title: Functions and Datasets for "Bayesian Methods: A Social and Behavioral Sciences Approach"
Description: Functions and datasets for Jeff Gill: "Bayesian Methods: A Social and Behavioral Sciences Approach". First, Second, and Third Edition. Published by Chapman and Hall/CRC (2002, 2007, 2014) <doi:10.1201/b17888>.
Author: Jonathan Homola, Danielle Korman, Jacob Metz, Miguel Pereira, Mauricio Vela, and Jeff Gill <jgill5402@mac.com>
Maintainer: Jeff Gill <jgill5402@mac.com>

Diff between BaM versions 1.0.2 dated 2020-12-09 and 1.0.3 dated 2022-10-14

 DESCRIPTION           |    8 ++++----
 MD5                   |   12 ++++++------
 NAMESPACE             |    1 -
 R/biv.norm.post.R     |   25 ++++++++++++-------------
 man/africa.Rd         |    2 +-
 man/asap.data.list.Rd |    2 +-
 man/baldus.Rd         |    2 +-
 7 files changed, 25 insertions(+), 27 deletions(-)

More information about BaM at CRAN
Permanent link

New package FuzzyStatTraEOO with initial version 0.1.0
Package: FuzzyStatTraEOO
Title: Package 'FuzzyStatTra' in Encapsulated Object Oriented Programming
Version: 0.1.0
Date: 2022-09-23
Description: The aim of the package is to contain the package 'FuzzyStatTra' in Encapsulated Object Oriented Programming using R6. 'FuzzyStatTra' contains Statistical Methods for Trapezoidal Fuzzy Numbers, whose aim is to provide some basic functions for doing statistical analysis with trapezoidal fuzzy numbers. For more details, you can visit the website of the SMIRE+CoDiRE (Statistical Methods with Imprecise Random Elements and Comparison of Distributions of Random Elements) Research Group (<https://bellman.ciencias.uniovi.es/smire+codire/>). The most related paper can be found in References. Now, those functions are organized in specific classes and methods. This object-based approach is an important step in making statistical computing more accessible to users.
Depends: R (>= 4.1)
Imports: R6, testthat
License: LGPL (>= 3)
NeedsCompilation: no
URL: https://bellman.ciencias.uniovi.es/smire+codire/FuzzyStatTraRpackage.html
Encoding: UTF-8
LazyData: true
Packaged: 2022-10-14 09:02:11 UTC; Andrea
Author: Andrea Garcia Cernuda [aut, cre], Asun Lubiano [ctb] , Sara de la Rosa de Saa [ctb]
Maintainer: Andrea Garcia Cernuda <uo270115@uniovi.es>
Repository: CRAN
Date/Publication: 2022-10-14 10:05:18 UTC

More information about FuzzyStatTraEOO at CRAN
Permanent link

New package DYNATE with initial version 0.1
Package: DYNATE
Title: Dynamic Aggregation Testing
Version: 0.1
Description: A multiple testing procedure aims to find the rare-variant association regions. When variants are rare, the single variant association test approach suffers from low power. To improve testing power, the procedure dynamically and hierarchically aggregates smaller genome regions to larger ones and performs multiple testing for disease associations with a controlled node-level false discovery rate. This method are members of the family of ancillary information assisted recursive testing introduced in Pura, Li, Chan and Xie (2021) <arXiv:1906.07757v2> and Li, Sung and Xie (2021) <arXiv:2103.11085v2>.
License: GPL-3
Encoding: UTF-8
Imports: data.table, tidyverse, Matrix, reshape2, stats, methods, tibble, dplyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2022-10-14 01:08:56 UTC; xuechanli
Author: Xuechan Li [aut, cre], Jichun Xie [ctb]
Maintainer: Xuechan Li <xuechanli0530@gmail.com>
Repository: CRAN
Date/Publication: 2022-10-14 10:05:21 UTC

More information about DYNATE at CRAN
Permanent link

Package sumR updated to version 0.4.10 with previous version 0.4.8 dated 2022-09-29

Title: Approximate Summation of Series
Description: Application of theoretical results which ensure that the summation of an infinite discrete series is within an arbitrary margin of error of its true value. The C code under the hood is shared through header files to allow users to sum their own low level functions as well. Based on the paper by Braden (1992) <doi: 10.2307/2324995>.
Author: Guido A. Moreira [cre, aut] , Luiz Max Carvalho [ctb]
Maintainer: Guido A. Moreira <guidoalber@gmail.com>

Diff between sumR versions 0.4.8 dated 2022-09-29 and 0.4.10 dated 2022-10-14

 DESCRIPTION      |   10 +++++-----
 MD5              |    4 ++--
 src/r_wrappers.h |    2 +-
 3 files changed, 8 insertions(+), 8 deletions(-)

More information about sumR at CRAN
Permanent link

Package raveio updated to version 0.0.9 with previous version 0.0.8 dated 2022-08-25

Title: File-System Toolbox for RAVE Project
Description: Includes multiple cross-platform read/write interfaces for 'RAVE' project. 'RAVE' stands for "R analysis and visualization of human intracranial electroencephalography data". The whole project aims at providing powerful free-source package that analyze brain recordings from patients with electrodes placed on the cortical surface or inserted into the brain. 'raveio' as part of this project provides tools to read/write neurophysiology data from/to 'RAVE' file structure, as well as several popular formats including 'EDF(+)', 'Matlab', 'BIDS-iEEG', and 'HDF5', etc. Documentation and examples about 'RAVE' project are provided at <https://openwetware.org/wiki/RAVE>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("raveio")' for details.
Author: Zhengjia Wang [aut, cre, cph], Beauchamp lab [cph, fnd]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between raveio versions 0.0.8 dated 2022-08-25 and 0.0.9 dated 2022-10-14

 DESCRIPTION                                      |   10 
 MD5                                              |   89 +--
 NAMESPACE                                        |   15 
 NEWS.md                                          |   34 +
 R/aaa.R                                          |   47 +
 R/blackrock-parser.R                             |  164 +++---
 R/class-BlackrockFile.R                          |  116 ++++
 R/class-LFP_electrode.R                          |  185 +++++--
 R/class-LFP_reference.R                          |   87 ++-
 R/class-electrode-abstract.R                     |    9 
 R/class-pipeline_tools.R                         |   46 +
 R/class-preprocess.R                             |    1 
 R/class-watch-dog.R                              |   33 +
 R/collapse-power.R                               |   32 -
 R/pipeline-docs.R                                |    7 
 R/pipeline-run.R                                 |   13 
 R/pipeline-tools.R                               |   87 +++
 R/rave-import.R                                  |   24 
 R/rave-prepare-subjectbare.R                     |  135 +++++
 R/rave-prepare-voltage-with-epoch.R              |only
 R/rave-prepare.R                                 |    1 
 R/rave-raw.R                                     |   16 
 R/rave-wavelet.R                                 |only
 R/rave2-experimental.R                           |  584 -----------------------
 R/tensor-baseline-power.R                        |only
 R/tensor-baseline-voltage.R                      |only
 R/units.R                                        |   34 -
 R/url.R                                          |only
 R/validate.R                                     |   26 -
 R/zzz.R                                          |   21 
 inst/WORDLIST                                    |    4 
 inst/shell-templates/fsl-flirt-coregistration.sh |    2 
 man/BlackrockFile.Rd                             |    8 
 man/LFP_electrode.Rd                             |   54 +-
 man/LFP_reference.Rd                             |    9 
 man/PipelineTools.Rd                             |   96 +++
 man/RAVEAbstarctElectrode.Rd                     |    4 
 man/RAVEPreprocessSettings.Rd                    |    1 
 man/auto_process_blackrock.Rd                    |    6 
 man/collapse2.Rd                                 |    2 
 man/convert_blackrock.Rd                         |only
 man/power_baseline.Rd                            |   32 -
 man/rave-pipeline.Rd                             |   43 +
 man/rave-prepare.Rd                              |   40 +
 man/raveio-constants.Rd                          |   13 
 man/read_nsx_nev.Rd                              |    3 
 man/url_neurosynth.Rd                            |only
 man/voltage_baseline.Rd                          |only
 man/with_future_parallel.Rd                      |   11 
 tests/testthat/test-rave_data_types.R            |only
 50 files changed, 1270 insertions(+), 874 deletions(-)

More information about raveio at CRAN
Permanent link

New package fect with initial version 1.0.0
Package: fect
Title: Fixed Effects Counterfactuals
Version: 1.0.0
Date: 2022-10-07
Maintainer: Ziyi Liu <zyliu2020@uchicago.edu>
Description: Estimates causal effects with panel data using the counterfactual methods. It is suitable for panel or time-series cross-sectional analysis with binary treatments under (hypothetically) baseline randomization.It allows a treatment to switch on and off and limited carryover effects. It supports linear factor models, a generalization of gsynth and the matrix completion method. Implementation details can be found in Liu, Wang and Xu (2022) <arXiv:2107.00856>.
URL: https://yiqingxu.org/packages/fect/articles/tutorial.html
NeedsCompilation: yes
License: MIT + file LICENSE
Imports: Rcpp (>= 0.12.3), ggplot2 (>= 2.1.0), GGally (>= 1.0.1), doParallel (>= 1.0.10), foreach (>= 1.4.3), abind (>= 1.4-0), MASS, gridExtra, grid, fixest, doRNG, future, panelView, mvtnorm
SystemRequirements: A C++11 compiler.
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppArmadillo
Packaged: 2022-10-13 19:40:30 UTC; ziyil
Author: Licheng Liu [aut], Ziyi Liu [aut, cre], Ye Wang [aut], Yiqing Xu [aut]
Repository: CRAN
Date/Publication: 2022-10-14 09:52:32 UTC

More information about fect at CRAN
Permanent link

Package brotli updated to version 1.3.0 with previous version 1.2 dated 2018-05-13

Title: A Compression Format Optimized for the Web
Description: A lossless compressed data format that uses a combination of the LZ77 algorithm and Huffman coding. Brotli is similar in speed to deflate (gzip) but offers more dense compression.
Author: Jeroen Ooms [aut, cre] , Google, Inc [aut, cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between brotli versions 1.2 dated 2018-05-13 and 1.3.0 dated 2022-10-14

 brotli-1.2/brotli/src/common/dictionary.bin                  |only
 brotli-1.2/brotli/src/dec/context.h                          |only
 brotli-1.2/brotli/src/dec/transform.h                        |only
 brotli-1.2/brotli/src/enc/context.h                          |only
 brotli-1.3.0/brotli/DESCRIPTION                              |   12 
 brotli-1.3.0/brotli/MD5                                      |  138 
 brotli-1.3.0/brotli/NEWS                                     |    6 
 brotli-1.3.0/brotli/build/vignette.rds                       |binary
 brotli-1.3.0/brotli/inst/doc/benchmarks.R                    |   12 
 brotli-1.3.0/brotli/inst/doc/benchmarks.html                 |  237 
 brotli-1.3.0/brotli/man/brotli.Rd                            |    2 
 brotli-1.3.0/brotli/src/Makevars                             |   17 
 brotli-1.3.0/brotli/src/common/constants.c                   |only
 brotli-1.3.0/brotli/src/common/constants.h                   |  136 
 brotli-1.3.0/brotli/src/common/context.c                     |only
 brotli-1.3.0/brotli/src/common/context.h                     |  156 
 brotli-1.3.0/brotli/src/common/dictionary.c                  |   15 
 brotli-1.3.0/brotli/src/common/platform.c                    |only
 brotli-1.3.0/brotli/src/common/platform.h                    |  403 +
 brotli-1.3.0/brotli/src/common/transform.c                   |   71 
 brotli-1.3.0/brotli/src/common/transform.h                   |    5 
 brotli-1.3.0/brotli/src/common/version.h                     |    4 
 brotli-1.3.0/brotli/src/dec/bit_reader.c                     |   28 
 brotli-1.3.0/brotli/src/dec/bit_reader.h                     |   76 
 brotli-1.3.0/brotli/src/dec/decode.c                         |  704 +-
 brotli-1.3.0/brotli/src/dec/huffman.c                        |   81 
 brotli-1.3.0/brotli/src/dec/huffman.h                        |   71 
 brotli-1.3.0/brotli/src/dec/prefix.h                         |   18 
 brotli-1.3.0/brotli/src/dec/state.c                          |   23 
 brotli-1.3.0/brotli/src/dec/state.h                          |  181 
 brotli-1.3.0/brotli/src/enc/backward_references.c            |   30 
 brotli-1.3.0/brotli/src/enc/backward_references.h            |    9 
 brotli-1.3.0/brotli/src/enc/backward_references_hq.c         |  169 
 brotli-1.3.0/brotli/src/enc/backward_references_hq.h         |   28 
 brotli-1.3.0/brotli/src/enc/backward_references_inc.h        |   46 
 brotli-1.3.0/brotli/src/enc/block_splitter.c                 |    6 
 brotli-1.3.0/brotli/src/enc/block_splitter_inc.h             |   21 
 brotli-1.3.0/brotli/src/enc/brotli_bit_stream.c              |   43 
 brotli-1.3.0/brotli/src/enc/brotli_bit_stream.h              |    5 
 brotli-1.3.0/brotli/src/enc/cluster_inc.h                    |    9 
 brotli-1.3.0/brotli/src/enc/command.c                        |only
 brotli-1.3.0/brotli/src/enc/command.h                        |   36 
 brotli-1.3.0/brotli/src/enc/compress_fragment.c              |   10 
 brotli-1.3.0/brotli/src/enc/compress_fragment_two_pass.c     |  148 
 brotli-1.3.0/brotli/src/enc/dictionary_hash.c                | 2926 ++++++-----
 brotli-1.3.0/brotli/src/enc/dictionary_hash.h                |    3 
 brotli-1.3.0/brotli/src/enc/encode.c                         |  179 
 brotli-1.3.0/brotli/src/enc/encoder_dict.c                   |    5 
 brotli-1.3.0/brotli/src/enc/encoder_dict.h                   |    5 
 brotli-1.3.0/brotli/src/enc/entropy_encode.c                 |    2 
 brotli-1.3.0/brotli/src/enc/entropy_encode.h                 |    4 
 brotli-1.3.0/brotli/src/enc/fast_log.c                       |only
 brotli-1.3.0/brotli/src/enc/fast_log.h                       |  117 
 brotli-1.3.0/brotli/src/enc/find_match_length.h              |    5 
 brotli-1.3.0/brotli/src/enc/hash.h                           |  221 
 brotli-1.3.0/brotli/src/enc/hash_composite_inc.h             |only
 brotli-1.3.0/brotli/src/enc/hash_forgetful_chain_inc.h       |  137 
 brotli-1.3.0/brotli/src/enc/hash_longest_match64_inc.h       |  103 
 brotli-1.3.0/brotli/src/enc/hash_longest_match_inc.h         |  106 
 brotli-1.3.0/brotli/src/enc/hash_longest_match_quickly_inc.h |  151 
 brotli-1.3.0/brotli/src/enc/hash_rolling_inc.h               |only
 brotli-1.3.0/brotli/src/enc/hash_to_binary_tree_inc.h        |   80 
 brotli-1.3.0/brotli/src/enc/memory.h                         |   36 
 brotli-1.3.0/brotli/src/enc/metablock.c                      |   53 
 brotli-1.3.0/brotli/src/enc/metablock_inc.h                  |    2 
 brotli-1.3.0/brotli/src/enc/params.h                         |    4 
 brotli-1.3.0/brotli/src/enc/quality.h                        |   18 
 brotli-1.3.0/brotli/src/enc/ringbuffer.h                     |    5 
 brotli-1.3.0/brotli/src/enc/static_dict.c                    |   10 
 brotli-1.3.0/brotli/src/enc/utf8_util.c                      |    2 
 brotli-1.3.0/brotli/src/enc/write_bits.h                     |   54 
 brotli-1.3.0/brotli/src/include/brotli/encode.h              |   23 
 brotli-1.3.0/brotli/src/include/brotli/port.h                |  274 -
 brotli-1.3.0/brotli/src/include/brotli/types.h               |    7 
 brotli-1.3.0/brotli/src/tools/brotli.c                       |   90 
 brotli-1.3.0/brotli/src/tools/brotli.md                      |only
 76 files changed, 4696 insertions(+), 2882 deletions(-)

More information about brotli at CRAN
Permanent link

New package twopartm with initial version 0.1.0
Package: twopartm
Title: Two-Part Model with Marginal Effects
Version: 0.1.0
Maintainer: Yajie Duan <yajieritaduan@gmail.com>
Description: Fit two-part regression models for zero-inflated data. The models and their components are represented using S4 classes and methods. Average Marginal effects and predictive margins with standard errors and confidence intervals can be calculated from two-part model objects. Belotti, F., Deb, P., Manning, W. G., & Norton, E. C. (2015) <doi:10.1177/1536867X1501500102>.
License: GPL (>= 2)
Depends: R (>= 2.10)
Imports: methods, graphics, stats, data.table, MASS
Encoding: UTF-8
LazyData: true
Repository: CRAN
NeedsCompilation: no
Packaged: 2022-10-13 09:57:19 UTC; Yajie Duan
Author: Yajie Duan [aut, cre], Birol Emir [aut], Griffith Bell [aut], Javier Cabrera [aut], Pfizer Inc. [cph, fnd]
Date/Publication: 2022-10-14 08:50:02 UTC

More information about twopartm at CRAN
Permanent link

New package StemAnalysis with initial version 0.1.0
Package: StemAnalysis
Title: Reconstructing Tree Growth and Carbon Accumulation with Stem Analysis Data
Version: 0.1.0
Author: Huili Wu [aut, cre], Wenhua Xiang [aut]
Maintainer: Huili Wu <wuhuili0701@163.com>
Description: Use stem analysis data to reconstructing tree growth and carbon accumulation. Users can independently or in combination perform a number of standard tasks for any tree species. (i) Age class determination. (ii) The cumulative growth, mean annual increment, and current annual increment of diameter at breast height (DBH) with bark, tree height, and stem volume with bark are estimated. (iii) Tree biomass and carbon storage estimation from volume and allometric models are calculated. (iv) Height-diameter relationship is fitted with nonlinear models, if diameter at breast height (DBH) or tree height are available, which can be used to retrieve tree height and diameter at breast height (DBH). <https://github.com/forestscientist/StemAnalysis>.
License: MIT + file LICENSE
NeedsCompilation: no
Repository: CRAN
Encoding: UTF-8
LazyData: true
Imports: lmfor (>= 1.0)
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/forestscientist/StemAnalysis
VignetteBuilder: knitr
Packaged: 2022-10-13 01:28:17 UTC; Wu
Date/Publication: 2022-10-14 08:42:36 UTC

More information about StemAnalysis at CRAN
Permanent link

Package sgsR updated to version 1.3.1 with previous version 1.2.0 dated 2022-08-07

Title: Structurally Guided Sampling
Description: Structurally guided sampling (SGS) approaches for airborne laser scanning (ALS; LIDAR). Primary functions provide means to generate data-driven stratifications & methods for allocating samples. Intermediate functions for calculating and extracting important information about input covariates and samples are also included. Processing outcomes are intended to help forest and environmental management practitioners better optimize field sample placement as well as assess and augment existing sample networks in the context of data distributions and conditions. ALS data is the primary intended use case, however any rasterized remote sensing data can be used, enabling data-driven stratifications and sampling approaches.
Author: Tristan RH Goodbody [aut, cre, cph] , Nicholas C Coops [aut] , Martin Queinnec [aut]
Maintainer: Tristan RH Goodbody <goodbody.t@gmail.com>

Diff between sgsR versions 1.2.0 dated 2022-08-07 and 1.3.1 dated 2022-10-14

 sgsR-1.2.0/sgsR/tests/testthat/test-mask_access.R       |only
 sgsR-1.3.1/sgsR/DESCRIPTION                             |    6 
 sgsR-1.3.1/sgsR/MD5                                     |   76 -
 sgsR-1.3.1/sgsR/NAMESPACE                               |    2 
 sgsR-1.3.1/sgsR/NEWS.md                                 |   16 
 sgsR-1.3.1/sgsR/R/extract_metrics.R                     |    9 
 sgsR-1.3.1/sgsR/R/extract_strata.R                      |   11 
 sgsR-1.3.1/sgsR/R/sample_clhs.R                         |    4 
 sgsR-1.3.1/sgsR/R/sample_existing.R                     |only
 sgsR-1.3.1/sgsR/R/sample_nc.R                           |    1 
 sgsR-1.3.1/sgsR/R/sample_systematic.R                   |  137 ++-
 sgsR-1.3.1/sgsR/R/utils-mask.R                          |  108 ++
 sgsR-1.3.1/sgsR/README.md                               |   18 
 sgsR-1.3.1/sgsR/build/vignette.rds                      |binary
 sgsR-1.3.1/sgsR/inst/doc/calculating.html               |  125 +--
 sgsR-1.3.1/sgsR/inst/doc/sampling.R                     |   52 +
 sgsR-1.3.1/sgsR/inst/doc/sampling.Rmd                   |   94 ++
 sgsR-1.3.1/sgsR/inst/doc/sampling.html                  |  636 ++++++++++------
 sgsR-1.3.1/sgsR/inst/doc/sgsR.html                      |  115 +-
 sgsR-1.3.1/sgsR/inst/doc/stratification.html            |  115 +-
 sgsR-1.3.1/sgsR/man/allocating.Rd                       |   90 +-
 sgsR-1.3.1/sgsR/man/extract_metrics.Rd                  |    4 
 sgsR-1.3.1/sgsR/man/extract_strata.Rd                   |    4 
 sgsR-1.3.1/sgsR/man/masking.Rd                          |    9 
 sgsR-1.3.1/sgsR/man/sample_ahels.Rd                     |    1 
 sgsR-1.3.1/sgsR/man/sample_balanced.Rd                  |    1 
 sgsR-1.3.1/sgsR/man/sample_clhs.Rd                      |    1 
 sgsR-1.3.1/sgsR/man/sample_existing.Rd                  |only
 sgsR-1.3.1/sgsR/man/sample_nc.Rd                        |    4 
 sgsR-1.3.1/sgsR/man/sample_srs.Rd                       |    1 
 sgsR-1.3.1/sgsR/man/sample_strat.Rd                     |    1 
 sgsR-1.3.1/sgsR/man/sample_systematic.Rd                |    5 
 sgsR-1.3.1/sgsR/tests/testthat.R                        |   24 
 sgsR-1.3.1/sgsR/tests/testthat/setup-testthat.R         |    9 
 sgsR-1.3.1/sgsR/tests/testthat/test-extract_metrics.R   |    2 
 sgsR-1.3.1/sgsR/tests/testthat/test-extract_strata.R    |    1 
 sgsR-1.3.1/sgsR/tests/testthat/test-sample_clhs.R       |    1 
 sgsR-1.3.1/sgsR/tests/testthat/test-sample_existing.R   |only
 sgsR-1.3.1/sgsR/tests/testthat/test-sample_systematic.R |   13 
 sgsR-1.3.1/sgsR/tests/testthat/test-utils-mask.R        |   58 +
 sgsR-1.3.1/sgsR/vignettes/sampling.Rmd                  |   94 ++
 41 files changed, 1272 insertions(+), 576 deletions(-)

More information about sgsR at CRAN
Permanent link

Package SDLfilter updated to version 2.3.0 with previous version 2.2.1 dated 2022-05-24

Title: Filtering and Assessing the Sample Size of Tracking Data
Description: Functions to filter GPS/Argos locations, as well as assessing the sample size for the analysis of animal distributions. The filters remove temporal and spatial duplicates, fixes located at a given height from estimated high tide line, and locations with high error as described in Shimada et al. (2012) <doi:10.3354/meps09747> and Shimada et al. (2016) <doi:10.1007/s00227-015-2771-0>. Sample size for the analysis of animal distributions can be assessed by the conventional area-based approach or the alternative probability-based approach as described in Shimada et al. (2021) <doi:10.1111/2041-210X.13506>.
Author: Takahiro Shimada
Maintainer: Takahiro Shimada <taka.shimada@gmail.com>

Diff between SDLfilter versions 2.2.1 dated 2022-05-24 and 2.3.0 dated 2022-10-14

 DESCRIPTION                        |   12 
 MD5                                |   58 +--
 NAMESPACE                          |   16 
 NEWS                               |  168 +++++----
 NEWS.md                            |  192 +++++------
 R/asymptote.R                      |    4 
 R/boot_area.R                      |  346 ++++++++++----------
 R/boot_overlap.R                   |  424 ++++++++++++------------
 R/combn_overlap.R                  |  428 ++++++++++++-------------
 R/ddfilter_loop.R                  |   83 ++--
 R/ddfilter_speed.R                 |   85 ++--
 R/dupfilter_exact.R                |    2 
 R/dupfilter_qi.R                   |  158 ---------
 R/dupfilter_space.R                |  633 ++++++++++++++++++-------------------
 R/dupfilter_time.R                 |  522 +++++++++++++++---------------
 R/kml_track.R                      |only
 R/to_kmz.R                         |only
 R/to_map.R                         |  437 ++++++++++++-------------
 R/track_param.R                    |  198 +++++------
 R/vmax.R                           |  207 +++++++-----
 R/vmaxlp.R                         |  106 ++++--
 README.md                          |  502 ++++++++++++++---------------
 build/partial.rdb                  |binary
 man/asymptote.Rd                   |    4 
 man/boot_area.Rd                   |    2 
 man/dupfilter_exact.Rd             |    2 
 man/figures/unnamed-chunk-13-1.png |binary
 man/figures/unnamed-chunk-7-1.png  |binary
 man/kml_track.Rd                   |only
 man/to_kmz.Rd                      |only
 man/vmax.Rd                        |   19 -
 man/vmaxlp.Rd                      |   21 -
 32 files changed, 2352 insertions(+), 2277 deletions(-)

More information about SDLfilter at CRAN
Permanent link

New package LDAandLDAS with initial version 1.0.2
Package: LDAandLDAS
Title: Linkage Disequilibrium of Ancestry (LDA) and LDA Score (LDAS)
Version: 1.0.2
Maintainer: Yaoling Yang <yaoling.yang@bristol.ac.uk>
Description: Computation of linkage disequilibrium of ancestry (LDA) and linkage disequilibrium of ancestry score (LDAS). LDA calculates the pairwise linkage disequilibrium of ancestry between single nucleotide polymorphisms (SNPs). LDAS calculates the LDA score of SNPs. The methods are described in Barrie W, Yang Y, Attfield K E, et al (2022) <doi:10.1101/2022.09.23.509097>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.8)
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2022-10-12 21:05:29 UTC; yyl19
Author: Yaoling Yang [aut, cre] , Daniel Lawson [aut]
Repository: CRAN
Date/Publication: 2022-10-14 08:45:23 UTC

More information about LDAandLDAS at CRAN
Permanent link

Package ggblanket updated to version 1.5.0 with previous version 1.4.0 dated 2022-09-02

Title: Simplify 'ggplot2' Visualisation
Description: Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.
Author: David Hodge [aut, cre]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between ggblanket versions 1.4.0 dated 2022-09-02 and 1.5.0 dated 2022-10-14

 DESCRIPTION             |   10 
 MD5                     |  146 +++---
 NAMESPACE               |    2 
 NEWS.md                 |   13 
 R/add_tooltip_text.R    |    5 
 R/gg_area.R             | 1080 ++++++++++++++++++++++++----------------------
 R/gg_bar.R              | 1080 ++++++++++++++++++++++++----------------------
 R/gg_bin2d.R            |only
 R/gg_blank.R            | 1111 ++++++++++++++++++++++++++---------------------
 R/gg_boxplot.R          | 1081 ++++++++++++++++++++++++----------------------
 R/gg_col.R              | 1081 ++++++++++++++++++++++++----------------------
 R/gg_crossbar.R         | 1119 ++++++++++++++++++++++++++----------------------
 R/gg_density.R          | 1081 ++++++++++++++++++++++++----------------------
 R/gg_errorbar.R         | 1116 ++++++++++++++++++++++++++---------------------
 R/gg_freqpoly.R         | 1080 ++++++++++++++++++++++++----------------------
 R/gg_function.R         | 1080 ++++++++++++++++++++++++----------------------
 R/gg_hex.R              |only
 R/gg_histogram.R        | 1087 ++++++++++++++++++++++++----------------------
 R/gg_jitter.R           | 1081 ++++++++++++++++++++++++----------------------
 R/gg_label.R            | 1081 ++++++++++++++++++++++++----------------------
 R/gg_line.R             | 1093 +++++++++++++++++++++++++---------------------
 R/gg_linerange.R        | 1117 ++++++++++++++++++++++++++---------------------
 R/gg_path.R             | 1080 ++++++++++++++++++++++++----------------------
 R/gg_point.R            | 1080 ++++++++++++++++++++++++----------------------
 R/gg_pointrange.R       | 1117 ++++++++++++++++++++++++++---------------------
 R/gg_polygon.R          | 1081 ++++++++++++++++++++++++----------------------
 R/gg_qq.R               | 1080 ++++++++++++++++++++++++----------------------
 R/gg_raster.R           | 1081 ++++++++++++++++++++++++----------------------
 R/gg_rect.R             | 1117 ++++++++++++++++++++++++++---------------------
 R/gg_ribbon.R           | 1118 ++++++++++++++++++++++++++---------------------
 R/gg_segment.R          | 1117 ++++++++++++++++++++++++++---------------------
 R/gg_sf.R               |  543 ++++++++++++-----------
 R/gg_smooth.R           | 1098 +++++++++++++++++++++++++----------------------
 R/gg_step.R             | 1093 +++++++++++++++++++++++++---------------------
 R/gg_text.R             | 1093 +++++++++++++++++++++++++---------------------
 R/gg_theme.R            |  319 +++----------
 R/gg_tile.R             | 1093 +++++++++++++++++++++++++---------------------
 R/gg_violin.R           | 1096 +++++++++++++++++++++++++----------------------
 inst/doc/ggblanket.R    |  171 ++++---
 inst/doc/ggblanket.Rmd  |  341 ++++++++------
 inst/doc/ggblanket.html |  759 +++++++++++++++++---------------
 man/add_tooltip_text.Rd |    4 
 man/gg_area.Rd          |   28 -
 man/gg_bar.Rd           |   28 -
 man/gg_bin2d.Rd         |only
 man/gg_blank.Rd         |   28 -
 man/gg_boxplot.Rd       |   28 -
 man/gg_col.Rd           |   28 -
 man/gg_crossbar.Rd      |   32 -
 man/gg_density.Rd       |   28 -
 man/gg_errorbar.Rd      |   28 -
 man/gg_freqpoly.Rd      |   28 -
 man/gg_function.Rd      |   28 -
 man/gg_hex.Rd           |only
 man/gg_histogram.Rd     |   34 -
 man/gg_jitter.Rd        |   28 -
 man/gg_label.Rd         |   28 -
 man/gg_line.Rd          |   41 +
 man/gg_linerange.Rd     |   28 -
 man/gg_path.Rd          |   28 -
 man/gg_point.Rd         |   28 -
 man/gg_pointrange.Rd    |   28 -
 man/gg_polygon.Rd       |  454 +++++++++----------
 man/gg_qq.Rd            |   28 -
 man/gg_raster.Rd        |   28 -
 man/gg_rect.Rd          |   28 -
 man/gg_ribbon.Rd        |   28 -
 man/gg_segment.Rd       |   36 +
 man/gg_sf.Rd            |   31 -
 man/gg_smooth.Rd        |   36 +
 man/gg_step.Rd          |   40 +
 man/gg_text.Rd          |   40 +
 man/gg_theme.Rd         |  101 ++--
 man/gg_tile.Rd          |   40 +
 man/gg_violin.Rd        |   42 +
 vignettes/ggblanket.Rmd |  341 ++++++++------
 76 files changed, 19462 insertions(+), 16363 deletions(-)

More information about ggblanket at CRAN
Permanent link

New package dual.spls with initial version 0.1.2
Package: dual.spls
Title: Dual Sparse Partial Least Squares Regression
Version: 0.1.2
Description: Provides a series of functions for fitting a dual sparse partial least squares (Dual-SPLS) regression. These functions differ by the choice of the underlying norm.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
Imports: stats, pdist, graphics
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-10-11 10:29:33 UTC; Louna
Author: Louna Alsouki [aut, cre], Francois Wahl [aut], Ghislain Durif [ctb]
Maintainer: Louna Alsouki <lounasouki@gmail.com>
Repository: CRAN
Date/Publication: 2022-10-14 08:03:58 UTC

More information about dual.spls at CRAN
Permanent link

New package bullishTrader with initial version 1.0.1
Package: bullishTrader
Title: Bullish Trading Strategies Through Graphs
Version: 1.0.1
Author: MaheshP Kumar [aut, cre]
Maintainer: MaheshP Kumar <maheshparamjitkumar@gmail.com>
Imports: graphics
Description: Stock, Options and Futures Trading Strategies for Traders and Investors with Bullish Outlook are represented here through their Graphs. The graphic indicators, strategies, calculations, functions and all the discussions are for academic, research, and educational purposes only and should not be construed as investment advice and come with absolutely no Liability. Guy Cohen (“The Bible of Options Strategies (2nd ed.)”, 2015, ISBN: 9780133964028). Zura Kakushadze, Juan A. Serur (“151 Trading Strategies”, 2018, ISBN: 9783030027919). John C. Hull (“Options, Futures, and Other Derivatives (11th ed.)”, 2022, ISBN: 9780136939979).
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-10-13 01:23:01 UTC; mahes
Repository: CRAN
Date/Publication: 2022-10-14 08:42:33 UTC

More information about bullishTrader at CRAN
Permanent link

Package bigstatsr updated to version 1.5.12 with previous version 1.5.6 dated 2022-02-03

Title: Statistical Tools for Filebacked Big Matrices
Description: Easy-to-use, efficient, flexible and scalable statistical tools. Package bigstatsr provides and uses Filebacked Big Matrices via memory-mapping. It provides for instance matrix operations, Principal Component Analysis, sparse linear supervised models, utility functions and more <doi:10.1093/bioinformatics/bty185>.
Author: Florian Prive [aut, cre], Michael Blum [ths], Hugues Aschard [ths]
Maintainer: Florian Prive <florian.prive.21@gmail.com>

Diff between bigstatsr versions 1.5.6 dated 2022-02-03 and 1.5.12 dated 2022-10-14

 bigstatsr-1.5.12/bigstatsr/DESCRIPTION                           |   27 
 bigstatsr-1.5.12/bigstatsr/MD5                                   |  153 +--
 bigstatsr-1.5.12/bigstatsr/NAMESPACE                             |  208 ++---
 bigstatsr-1.5.12/bigstatsr/NEWS.md                               |   20 
 bigstatsr-1.5.12/bigstatsr/R/FBM-attach.R                        |    6 
 bigstatsr-1.5.12/bigstatsr/R/FBM-code256.R                       |    2 
 bigstatsr-1.5.12/bigstatsr/R/FBM-copy.R                          |    2 
 bigstatsr-1.5.12/bigstatsr/R/FBM.R                               |   27 
 bigstatsr-1.5.12/bigstatsr/R/RcppExports.R                       |    8 
 bigstatsr-1.5.12/bigstatsr/R/biglasso.R                          |    2 
 bigstatsr-1.5.12/bigstatsr/R/bigstatsr-package.R                 |    2 
 bigstatsr-1.5.12/bigstatsr/R/crochet.R                           |    6 
 bigstatsr-1.5.12/bigstatsr/R/mult-mat.R                          |    1 
 bigstatsr-1.5.12/bigstatsr/R/transpose.R                         |    2 
 bigstatsr-1.5.12/bigstatsr/R/zzz.R                               |    3 
 bigstatsr-1.5.12/bigstatsr/README.md                             |    7 
 bigstatsr-1.5.12/bigstatsr/build/partial.rdb                     |binary
 bigstatsr-1.5.12/bigstatsr/inst/WORDLIST                         |    2 
 bigstatsr-1.5.12/bigstatsr/inst/include/bigstatsr/univLogReg.hpp |    9 
 bigstatsr-1.5.12/bigstatsr/man/AUC.Rd                            |  130 +--
 bigstatsr-1.5.12/bigstatsr/man/COPY_biglasso_main.Rd             |  242 ++---
 bigstatsr-1.5.12/bigstatsr/man/COPY_biglasso_part.Rd             |  112 +-
 bigstatsr-1.5.12/bigstatsr/man/Extract.Rd                        |   64 -
 bigstatsr-1.5.12/bigstatsr/man/FBM-class.Rd                      |  276 +++---
 bigstatsr-1.5.12/bigstatsr/man/FBM-methods.Rd                    |  102 +-
 bigstatsr-1.5.12/bigstatsr/man/FBM.code256-class.Rd              |  152 +--
 bigstatsr-1.5.12/bigstatsr/man/Replace.Rd                        |   68 -
 bigstatsr-1.5.12/bigstatsr/man/asPlotlyText.Rd                   |   62 -
 bigstatsr-1.5.12/bigstatsr/man/big_SVD.Rd                        |  244 ++---
 bigstatsr-1.5.12/bigstatsr/man/big_apply.Rd                      |  158 +--
 bigstatsr-1.5.12/bigstatsr/man/big_attach.Rd                     |   60 -
 bigstatsr-1.5.12/bigstatsr/man/big_colstats.Rd                   |  116 +-
 bigstatsr-1.5.12/bigstatsr/man/big_copy.Rd                       |  142 +--
 bigstatsr-1.5.12/bigstatsr/man/big_cor.Rd                        |  136 +--
 bigstatsr-1.5.12/bigstatsr/man/big_counts.Rd                     |  104 +-
 bigstatsr-1.5.12/bigstatsr/man/big_cprodMat.Rd                   |  190 ++--
 bigstatsr-1.5.12/bigstatsr/man/big_cprodVec.Rd                   |  124 +--
 bigstatsr-1.5.12/bigstatsr/man/big_crossprodSelf.Rd              |  170 ++--
 bigstatsr-1.5.12/bigstatsr/man/big_increment.Rd                  |   66 -
 bigstatsr-1.5.12/bigstatsr/man/big_parallelize.Rd                |  196 ++--
 bigstatsr-1.5.12/bigstatsr/man/big_prodMat.Rd                    |  178 ++--
 bigstatsr-1.5.12/bigstatsr/man/big_prodVec.Rd                    |  124 +--
 bigstatsr-1.5.12/bigstatsr/man/big_randomSVD.Rd                  |  254 +++---
 bigstatsr-1.5.12/bigstatsr/man/big_read.Rd                       |  118 +-
 bigstatsr-1.5.12/bigstatsr/man/big_scale.Rd                      |   96 +-
 bigstatsr-1.5.12/bigstatsr/man/big_spLinReg.Rd                   |  398 ++++-----
 bigstatsr-1.5.12/bigstatsr/man/big_spLogReg.Rd                   |  412 +++++-----
 bigstatsr-1.5.12/bigstatsr/man/big_tcrossprodSelf.Rd             |  170 ++--
 bigstatsr-1.5.12/bigstatsr/man/big_transpose.Rd                  |   60 -
 bigstatsr-1.5.12/bigstatsr/man/big_univLinReg.Rd                 |  182 ++--
 bigstatsr-1.5.12/bigstatsr/man/big_univLogReg.Rd                 |  214 ++---
 bigstatsr-1.5.12/bigstatsr/man/big_write.Rd                      |   90 +-
 bigstatsr-1.5.12/bigstatsr/man/bigstatsr-package.Rd              |  173 ++--
 bigstatsr-1.5.12/bigstatsr/man/block_size.Rd                     |   52 -
 bigstatsr-1.5.12/bigstatsr/man/covar_from_df.Rd                  |   46 -
 bigstatsr-1.5.12/bigstatsr/man/get_beta.Rd                       |   40 
 bigstatsr-1.5.12/bigstatsr/man/pasteLoc.Rd                       |   62 -
 bigstatsr-1.5.12/bigstatsr/man/pcor.Rd                           |   56 -
 bigstatsr-1.5.12/bigstatsr/man/plot.big_SVD.Rd                   |  190 ++--
 bigstatsr-1.5.12/bigstatsr/man/plot.big_sp_list.Rd               |   48 -
 bigstatsr-1.5.12/bigstatsr/man/plot.mhtest.Rd                    |  102 +-
 bigstatsr-1.5.12/bigstatsr/man/predict.big_SVD.Rd                |  168 ++--
 bigstatsr-1.5.12/bigstatsr/man/predict.big_sp.Rd                 |   76 -
 bigstatsr-1.5.12/bigstatsr/man/predict.big_sp_list.Rd            |  104 +-
 bigstatsr-1.5.12/bigstatsr/man/predict.mhtest.Rd                 |   56 -
 bigstatsr-1.5.12/bigstatsr/man/reexports.Rd                      |   44 -
 bigstatsr-1.5.12/bigstatsr/man/sub_bk.Rd                         |   54 -
 bigstatsr-1.5.12/bigstatsr/man/summary.big_sp_list.Rd            |   52 -
 bigstatsr-1.5.12/bigstatsr/man/theme_bigstatsr.Rd                |   40 
 bigstatsr-1.5.12/bigstatsr/man/without_downcast_warning.Rd       |   40 
 bigstatsr-1.5.12/bigstatsr/src/Makevars                          |    2 
 bigstatsr-1.5.12/bigstatsr/src/RcppExports.cpp                   |   28 
 bigstatsr-1.5.12/bigstatsr/tests/testthat/test-AUC.R             |   10 
 bigstatsr-1.5.12/bigstatsr/tests/testthat/test-FBM-file.R        |   54 +
 bigstatsr-1.5.12/bigstatsr/tests/testthat/test-copy.R            |   15 
 bigstatsr-1.5.12/bigstatsr/tests/testthat/test-prodMat.R         |   14 
 bigstatsr-1.5.12/bigstatsr/tests/testthat/test-transpose.R       |   15 
 bigstatsr-1.5.6/bigstatsr/src/FBM-file.cpp                       |only
 78 files changed, 3658 insertions(+), 3580 deletions(-)

More information about bigstatsr at CRAN
Permanent link

Package agroclim updated to version 0.3.0 with previous version 0.2.0 dated 2022-04-08

Title: Climatic Indices for Agriculture
Description: Collection of functions to compute agroclimatic indices useful to zoning areas based on climatic variables and to evaluate the importance of temperature and precipitation for individual crops, or in general for agricultural lands.
Author: Roberto Serrano-Notivoli [aut, cre]
Maintainer: Roberto Serrano-Notivoli <roberto.serrano@uam.es>

Diff between agroclim versions 0.2.0 dated 2022-04-08 and 0.3.0 dated 2022-10-14

 DESCRIPTION          |   13 ++++++-------
 MD5                  |   18 +++++++++---------
 R/ehe.R              |    6 +++---
 R/firstFrost.R       |    4 ++--
 R/firstTemp.R        |    4 ++--
 R/frostDays.R        |    4 ++--
 R/frostFreqs.R       |    2 +-
 R/lastFrost.R        |    4 ++--
 R/tempProb.R         |    2 +-
 data/data_clim.RData |binary
 10 files changed, 28 insertions(+), 29 deletions(-)

More information about agroclim at CRAN
Permanent link

New package Anaconda with initial version 0.1.5
Package: Anaconda
Title: Targeted Differential and Global Enrichment Analysis of Taxonomic Rank by Shared Asvs
Version: 0.1.5
Author: Pierre-Louis Stenger [cre, aut]
Maintainer: Pierre-Louis Stenger <Pierrelouis.stenger@gmail.com>
Description: Targeted differential and global enrichment analysis of taxonomic rank by shared ASVs (Amplicon Sequence Variant), for high-throughput eDNA sequencing of fungi, bacteria, and metazoan. Actually works in two steps: I) Targeted differential analysis from QIIME2 data and II) Global analysis by Taxon Mann-Whitney U test analysis from targeted analysis (I) (I) Estimate variance-mean dependence in count/abundance ASVs data from high-throughput sequencing assays and test for differential represented ASVs based on a model using the negative binomial distribution. (II) NCBITaxon_MWU uses continuous measure of significance (such as fold-change or -log(p-value)) to identify NCBITaxon that are significantly enriches with either up- or down-represented ASVs. If the measure is binary (0 or 1) the script will perform a typical 'NCBITaxon enrichment' analysis based Fisher's exact test: it will show NCBITaxon over-represented among the ASVs that have 1 as their measure. On the plot, different fonts are [...truncated...]
License: GPL (>= 2)
URL: https://github.com/PLStenger/Anaconda
BugReports: https://github.com/PLStenger/Anaconda/issues
Imports: ggrepel, pheatmap, lookup, plyr, data.table, rafalib, RColorBrewer, methods, graphics
Depends: ape, DESeq2, ggplot2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-10-13 08:09:09 UTC; pierre-louisstenger
Repository: CRAN
Date/Publication: 2022-10-14 08:55:29 UTC

More information about Anaconda at CRAN
Permanent link

Package analysisPipelines (with last version 1.0.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-06-12 1.0.2
2020-05-05 1.0.1
2019-01-08 1.0.0

Permanent link
Package nntrf (with last version 0.1.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-02-26 0.1.4
2020-08-06 0.1.3
2020-07-27 0.1.2
2020-07-21 0.1.1
2020-06-04 0.1.0

Permanent link
Package BiOFI (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2022-09-22 0.1.0

Permanent link

Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.